Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
USD 165K-210K (estimate) Senior-level Full Time
Tasks
- Apply dimensional modeling for data warehouses
- Build data ingestion transformation and loading processes
- Collaborate with cross-functional teams
- Create logical and physical data models
- Design and develop ETL/ELT pipelines
- Develop and manage Snowflake objects
- Develop ingestion frameworks
- Enforce data governance and security access controls
- Implement Snowflake data platform solutions
- Implement data quality controls and monitoring
- Ingest structured and semi structured data from sources
- Maintain documentation for pipelines and models
- Monitor pipelines diagnose issues and resolve incidents
- Optimize Snowflake workloads and SQL queries
- Support Azure data platform architecture
Perks/Benefits
- Company-sponsored certifications
- Conference attendance
- Continuing education
- Flexible working hours
- Paid time off
- Remote work
- Training
Skills/Tech-stack
Azure | Azure Data | Azure Data Catalog | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure DevOps | Azure Key Vault | CI/CD | Data Catalog | Data Factory | Data Governance | Data Lake Storage | Data Modeling | Data Quality | Data Security | Dimensional Modeling | ELT | ETL | Git | Infrastructure as Code | Key Vault | Monitoring | Performance optimization | Power BI | PySpark | Python | REST APIs | SQL | Snowflake | Snowflake Stages | Snowflake Streams | Snowflake Tasks | Snowpipe | Star Schema | Stored Procedures | Tableau | Terraform | Virtual Warehouse | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
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